The chains model for detecting parts by their context L Karlinsky, M Dinerstein, D Harari, S Ullman 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 104 | 2010 |
Unsupervised classification and part localization by consistency amplification L Karlinsky, M Dinerstein, D Levi, S Ullman Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008 | 25 | 2008 |
Unsupervised feature optimization (ufo): Simultaneous selection of multiple features with their detection parameters L Karlinsky, M Dinerstein, S Ullman 2009 IEEE Conference on Computer Vision and Pattern Recognition, 1263-1270, 2009 | 12 | 2009 |
Efficient CNN-based solution for video frame interpolation M Dinerstein, T Peleg, D Sabo, P Szekely US Patent 10,896,356, 2021 | 8 | 2021 |
Using body-anchored priors for identifying actions in single images L Karlinsky, M Dinerstein, S Ullman Advances in Neural Information Processing Systems 23, 2010 | 6 | 2010 |
Consistent semantic attacks on optical flow T Koren, L Talker, M Dinerstein, R Vitek Proceedings of the Asian Conference on Computer Vision, 1658-1674, 2022 | 5 | 2022 |
Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation L Talker, A Cohen, E Yosef, A Dana, M Dinerstein Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 3 | 2024 |
Combined model for detecting, localizing, interpreting and recognizing faces L Karlinsky, M Dinerstein, D Levi, S Ullman Workshop on Faces in'Real-Life'Images: Detection, Alignment, and Recognition, 2008 | 3 | 2008 |
Rgb-nir processing and calibration Y Sharabi, D Sabo, R Sfaradi, S Praisler, S Dubinchik, M Dinerstein, ... US Patent App. 17/804,096, 2023 | 1 | 2023 |
Warping data Y Shicht, E Rosin, M Dinerstein US Patent 11,508,031, 2022 | 1 | 2022 |
Methods and systems for white balance M Dinerstein, O Givaty US Patent 9,838,660, 2017 | 1 | 2017 |
Method for co-design of hardware and neural network architectures using coarse-to-fine search, two-phased block distillation and neural hardware predictor N Zehngut, A Ben-Dror, E Artyomov, M Dinerstein, R Jevnisek US Patent 12,112,112, 2024 | | 2024 |
Depth edges refinement for sparsely supervised monocular depth estimation L Talker, A Dana, A Cohen, E Yosef, M Dinerstein, A Ben-Dror US Patent App. 18/354,039, 2024 | | 2024 |
Low-power change-based neural network inference for image processing I Goldin, Y Dinai, R Vitek, M Dinerstein US Patent App. 17/664,262, 2023 | | 2023 |
Supplementary Material for Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation L Talker, A Cohen, E Yosef, A Dana, M Dinerstein | | |
Tuesday, June 15, 2010 YJ Lee, K Grauman, B Yao, L Fei-Fei, L Karlinsky, M Dinerstein, D Harari, ... | | |